Why do we normalize the inputs x?

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  1. Why do we normalize the inputs x?
    •  Normalization is another word for regularization–It helps to reduce variance
    •  It makes it easier to visualize the data
    •  It makes the cost function faster to optimize
    •  It makes the parameter initialization faster

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Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization Coursera Quiz Answer

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  1. The dev and test set should
  2. If your Neural Network model seems to have high bias, what of the following would be promising things to try?
  3. If your Neural Network model seems to have high variance, what of the following would be promising things to try?
  4. Which of these techniques are useful for reducing variance (reducing overfitting)? (Check all that apply.)

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